Hi,
I am struggling a bit with creating a forest plot containing the predicted
effect size. As seen in other studies these effect sizes are shown per study
usually as a light grey diamond - which is what I want to achieve.
The calls I use are:
iat_result = rma(yi=Mean, vi=Variance_rounded, ni=N, sei=Std_error,
slab=Study_Name, subset=(Country == "AUT"), data=cma_iat, method="HS")
summary.rma(iat_result)
#not sure how to use it or if needed
#predict(iat_result)
forest(iat_result)
At the end I am getting the forest plot as is without the predicted values.
I am not sure if I need the predict function and how to use it? - the predict
function deliveres the same values as already computed in the rma object.
I checked the manual for package metafor but was not able to find out how to
print the predicted values per study.
kind regards, Alma
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